Triple

T2155530
Position Surface form Disambiguated ID Type / Status
Subject Chuck Yeager E47876 entity
Predicate spouse P13 FINISHED
Object Victoria Scott D’Angelo E47876 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Victoria Scott D’Angelo | Statement: [Chuck Yeager, spouse, Victoria Scott D’Angelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Scott D’Angelo
Context triple: [Chuck Yeager, spouse, Victoria Scott D’Angelo]
  • A. Victoria Scott D’Angelo chosen
    Victoria Scott D’Angelo is an American former actress and socialite best known as the second wife of legendary test pilot Chuck Yeager.
  • B. Beverly D’Angelo
    Beverly D’Angelo is an American actress best known for her role as Ellen Griswold in the National Lampoon’s Vacation film series.
  • C. Annie D'Angelo
    Annie D'Angelo is an American makeup artist best known as the longtime wife of country music legend Willie Nelson.
  • D. Diana DeGarmo
    Diana DeGarmo is an American singer and actress who gained fame as a standout contestant on the third season of the television show American Idol.
  • E. Elissa Leonard
    Elissa Leonard is an American filmmaker and producer known for her work in documentary and independent film, as well as for being married to Federal Reserve Chair Jerome H. Powell.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe669c188190bb4c1c391ca848b0 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653677ec8190ab0b044e005a9947 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:44 p.m.